MétaCan
Menu
Back to cohort
Record W3090331686 · doi:10.17721/1728-2640.2020.145.1

“CALENDAR CONFLICTS” WITHIN THE UKRAINIAN GREEK-CATHOLIC COMMUNITY IN THE UNITED STATES AND CANADA IN 1950-1960

2020· article· en· W3090331686 on OpenAlexaboutno aff
Anatolii Babynskyi

Bibliographic record

VenueBulletin of Taras Shevchenko National University of Kyiv History · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUkrainian Cultural and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationUkrainianHomelandImmigrationPolitical scienceSociologyHistoryLawPolitics

Abstract

fetched live from OpenAlex

The article covers the “calendar conflicts” on the parishes of the Ukrainian Greek Catholic Church (Ukrainian Catholic Church) in the United States and Canada in the 1950s and 1960s, which led to the creation of parallel “old calendar” parishes in Chicago, Cleveland, Philadelphia and Washington. The arrival and adaptation of the post-war wave of Ukrainian immigrants to life in the United States and Canada were accompanied by a series of conflicts with representatives of the “old” emigration, including in the religious sphere. The desire to overcome disorientation in the new environment and to slow down the process of assimilation prompted representatives of the third wave of emigration to maximize the preservation and exacerbation of those elements of the religious tradition that would, on the one hand, more closely associated them with their homeland and, on the other, separated them from their surrounding culture. This approach did not always coincide with the desires of the descendants of previous waves of immigrants and the leadership of the UGCC in these countries, which sought a more in-depth adaptation of church life to local culture. As a result, the third wave of the Ukrainian emigration developed a phenomenon of the diasporic religion inherent for the first generations of immigrants in general, and which comprises the formation of such a religious environment (the “old” calendar became one of its elements), institutions and discourse that would connect newly arrived immigrants to their homeland and keep them from assimilation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0230.006
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.227
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Taras Shevchenko National University of Kyiv HistorySame topicUkrainian Cultural and Linguistic StudiesFrench-language works237,207